Agent Modeling

Papers from the AAAI Workshop

The study of issues arising in building agents competent in interacting with other agents has played a central role in much of AI research. Agent modeling-the capability of modeling and reasoning about other agent's knowledge, beliefs, goals, and actions-is central to intelligent interaction. This capability is being addressed in a variety of research areas, including distributed AI and multi-agent systems, natural language discourse, plan recognition, intelligent tutoring and user interfaces, as well as in related areas, such as game theory and psychology. Added impetus to this work comes from the recent explosion of work on agents in interactive simulation and software environments, which bring with them new concerns for agent modeling for collaboration and competition.